sunflowerplot(graphics)
sunflowerplot()所属R语言包：graphics
Produce a Sunflower Scatter Plot
产生向日葵散点图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Multiple points are plotted as "sunflowers" with multiple leaves ("petals") such that overplotting is visualized instead of accidental and invisible.
多点绘制成“向日葵”多叶（“花瓣”）等，overplotting可视化，而不是偶然的和无形的。
用法----------Usage----------
sunflowerplot(x, ...)
## Default S3 method:[默认方法]
sunflowerplot(x, y = NULL, number, log = "", digits = 6,
xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL,
add = FALSE, rotate = FALSE,
pch = 16, cex = 0.8, cex.fact = 1.5,
col = par("col"), bg = NA, size = 1/8, seg.col = 2,
seg.lwd = 1.5, ...)
## S3 method for class 'formula'[类formula的方法]
sunflowerplot(formula, data = NULL, xlab = NULL, ylab = NULL, ...,
subset, na.action = NULL)
参数----------Arguments----------
参数：x
numeric vector of x-coordinates of length n, say, or another valid plotting structure, as for plot.default, see also xy.coords.
数字矢量x长度坐标n，或者说另一种有效的绘图结构，为plot.default，看到xy.coords。
参数：y
numeric vector of y-coordinates of length n.
数字矢量y长度n坐标。
参数：number
integer vector of length n. number[i] = number of replicates for (x[i],y[i]), may be 0.<br> Default (missing(number)): compute the exact multiplicity of the points x[],y[], via xyTable().
整数向量长度n。 number[i]=(x[i],y[i])的复制，可能是0参考默认（missing(number)）：计算点的确切多重x[],y[]，通过xyTable() 。
参数：log
character indicating log coordinate scale, see plot.default.
字符指示坐标日志规模，看到plot.default。
参数：digits
when number is computed (i.e., not specified), x and y are rounded to digits significant digits before multiplicities are computed.
当number计算（即未指定），x和ydigits的显著位数四舍五入计算多重之前。
参数：xlab,ylab
character label for x-, or y-axis, respectively.
X，Y轴分别字符标签。
参数：xlim,ylim
numeric(2) limiting the extents of the x-, or y-axis.
numeric(2)的X或Y轴的范围限制。
参数：add
logical; should the plot be added on a previous one ? Default is FALSE.
逻辑;图应该被添加上一前一？默认FALSE。
参数：rotate
logical; if TRUE, randomly rotate the sunflowers (preventing artefacts).
逻辑;如果TRUE，随机旋转的向日葵（防止文物）。
参数：pch
plotting character to be used for points (number[i]==1) and center of sunflowers.
绘制字符点（number[i]==1）和向日葵中心。
参数：cex
numeric; character size expansion of center points (s. pch).
数字;中心点字符规模的扩大（S.pch）。
参数：cex.fact
numeric shrinking factor to be used for the center points when there are flower leaves, i.e., cex / cex.fact is used for these.
为中心点，当有花的叶子，即cex / cex.fact这些数字萎缩的因素。
参数：col, bg
colors for the plot symbols, passed to plot.default.
图符号的颜色，通过plot.default。
参数：size
of sunflower leaves in inches, 1[in] := 2.54[cm]. Default: 1/8\", approximately 3.2mm.
参数：seg.col
color to be used for the segments which make the sunflowers leaves, see par(col=); col = "gold" reminds of real sunflowers.
颜色可以使向日葵叶段，看到par(col=)col = "gold"真正的向日葵提醒。
参数：seg.lwd
numeric; the line width for the leaves' segments.
数字;叶段线的宽度。
参数：...
further arguments to plot [if add = FALSE], or to be passed to or from another method.
进一步论据plot[如果add = FALSE]，或通过或从另一种方法。
参数：formula
a formula, such as y ~ x.
formula，如y ~ x的。
参数：data
a data.frame (or list) from which the variables in formula should be taken.
数据框（或列表）变量formula应采取的。
参数：subset
an optional vector specifying a subset of observations to be used in the fitting process.
一个可选的向量指定要在装修过程中使用的观测的子集。
参数：na.action
a function which indicates what should happen when the data contain NAs. The default is to ignore case with missing values.
一个函数，它表示数据时，包含NA的，应该发生什么。默认是忽略缺失值的情况下。
Details
详情----------Details----------
This is a generic function with default and formula methods.
这是一个通用函数默认和公式的方法。
For number[i] == 1, a (slightly enlarged) usual plotting symbol (pch) is drawn. For number[i] > 1, a small plotting symbol is drawn and number[i] equi-angular "rays" emanate from it.
number[i] == 1（略有扩大）通常绘制符号（pch）绘制。 number[i] > 1，一个小绘图符号绘制和number[i]等角“射线”，从它散发出的。
If rotate = TRUE and number[i] >= 2, a random direction is chosen (instead of the y-axis) for the first ray. The goal is to jitter the orientations of the sunflowers in order to prevent artefactual visual impressions.
如果rotate = TRUE和number[i] >= 2，一个随机的方向选择（y轴）的第一线。我们的目标是到jitter向日葵的方向，以防止人工的视觉印象。
值----------Value----------
A list with three components of same length,
与相同长度的三个组成部分的列表，
参数：x
x coordinates
X坐标
参数：y
y coordinates
y坐标
参数：number
number
数
Use xyTable() (from package grDevices) if you are only interested in this return value.
使用xyTable()（从包grDevices）如果你只是有兴趣在这个返回值。
副作用----------Side Effects----------
A scatter plot is drawn with "sunflowers" as symbols.
绘制散点图是作为符号的“向日葵”。
作者（S）----------Author(s)----------
Andreas Ruckstuhl, Werner Stahel, Martin Maechler, Tim Hesterberg,
1989–1993. Port to <font face="Courier New,Courier" color="#666666"><b>R</b></font> by Martin Maechler
<a href="mailto:maechler@stat.math.ethz.ch">maechler@stat.math.ethz.ch</a>.
参考文献----------References----------
Graphical Methods for Data Analysis. Wadsworth.
A suggestion for sunflower plots. The American Statistician, 48, 303–305.
参见----------See Also----------
density, xyTable
density，xyTable
举例----------Examples----------
require(stats)
require(grDevices)
## 'number' is computed automatically:[＃号自动计算：]
sunflowerplot(iris[, 3:4])
## Imitating Chambers et al., p.109, closely:[＃模仿Chambers等，第109页，密切合作。]
sunflowerplot(iris[, 3:4], cex=.2, cex.fact=1, size=.035, seg.lwd=.8)
## or[＃或]
sunflowerplot(Petal.Width ~ Petal.Length, data=iris,
cex=.2, cex.fact=1, size=.035, seg.lwd=.8)
sunflowerplot(x=sort(2*round(rnorm(100))), y= round(rnorm(100),0),
main = "Sunflower Plot of Rounded N(0,1)")
## Similarly using a "xyTable" argument:[＃同样使用的“xyTable”的说法：]
xyT <- xyTable(x=sort(2*round(rnorm(100))), y= round(rnorm(100),0),
digits=3)
utils::str(xyT, vec.len=20)
sunflowerplot(xyT, main = "2nd Sunflower Plot of Rounded N(0,1)")
## A 'marked point process' {explicit 'number' argument}:[＃“标记点过程”明确的“数量”参数}：]
sunflowerplot(rnorm(100), rnorm(100), number = rpois(n=100,lambda=2),
main="Sunflower plot (marked point process)",
rotate=TRUE, col = "blue4")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-2-17 10:00:12
